AI Operations Manager (from 5yoe, Excellent English)

Mô tả công việc

Our story might surprise you. We’re the world’s largest restaurant company—encompassing KFC, Taco Bell, and Habit Burger & Grill—but there’s a lot more going on behind the scenes than just serving great food. We put this delicious food in the hands of customers through apps, websites, kiosks, POS, and other digital dining experiences. 

 

We are seeking a strategic and hands-on AI Operations & Asia AI Execution Manager with a dual mandate. Approximately 80% of the initial role will lead the AI Operations and Support function, ensuring the reliability, scalability, and efficiency of AI/ML systems in production. Approximately 20% will focus on AI execution in Asia, initially for KFC in one to two priority markets. The leader will oversee a 24/7 operations team across Vietnam and Colombia, establish playbooks and SLAs, and partner closely with Data Scientists, AI Engineers, and Machine Learning Engineers on support strategies.

 

In parallel, this leader will partner with KFC business and AI leaders in the selected Asian markets to identify where existing global AI capabilities can create value, where new capabilities are needed, and how opportunities should be translated into executable initiatives. Working closely with the Global AI Leader and regional AI leaders, they will draw on Data Science and Machine Learning Engineering resources in the United States, Colombia, and India. As this model proves value, the role is expected to expand its market scope and regional portfolio ownership and help build local AI delivery capability in Asia, likely based in Vietnam.

 

Yêu cầu công việc

• Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field. 
• 5+ years of experience in AI/ML operations, MLOps, or DevOps, with at least 2 years in a leadership role. 
• Proven experience managing 24/7 operations teams and establishing operational processes at scale. 
• Strong understanding of AI/ML systems, pipelines, and monitoring frameworks. 
• Proficiency in tools and platforms for monitoring and incident management (e.g., Prometheus, Grafana, Datadog, PagerDuty). 
• Excellent problem-solving and troubleshooting skills with a hands-on approach to resolving critical issues. 
• Strong English language proficiency, with excellent written and verbal communication skills and the ability to effectively collaborate with technical and non-technical stakeholders across global teams. 
• Demonstrated ability to partner with senior business and technology leaders to identify, assess, prioritize, and shape AI or data-driven opportunities. 
• Experience leading execution across distributed Data Science, Machine Learning Engineering, AI Engineering, or related technical teams in multiple countries or regions. 
• Strong program leadership skills with the ability to translate ambiguous business needs into clear use cases, requirements, delivery plans, and measurable outcomes. 
• Experience in developing and tracking SLAs, operational metrics, and playbooks. 
• Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Kubernetes, Docker). 

 

Preferred Qualifications: 

• Experience with automation tools and scripting languages (e.g., Python, Bash) for operational workflows. 
• Knowledge of machine learning lifecycle management tools (e.g., MLflow, SageMaker, Kubeflow). 
• Previous experience in incident response for AI/ML or data-intensive systems. 
• Experience supporting onboarding processes for large-scale systems or distributed locations (e.g., stores or franchises).